Optimizing Healthcare Data Extraction with AI: A Path to Improved Patient Care

Author(s)	Arun Kumar Ramachandran Sumangala Devi
Country	United States
Abstract	This study analyses the role of AI in enhancing the healthcare system by improving data extraction techniques to address various challenges in the healthcare sector. The roles of artificial intelligence (AI), like natural language processing (NLP) and machine learning (ML) in healthcare, allow the automation of the extraction of unstructured clinical information from records. This results in quicker diagnosis, enhanced treatment outcomes, and reduced paperwork. It has allowed for reduced burnout among healthcare professionals who would otherwise extract this data manually, allowing them to focus on providing better quality care to patients. While AI has been implemented in this sector, much must be done to achieve its full potential.
Keywords	Data extraction. Artificial Intelligence (AI), patient care
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-11-07
Cite This	Optimizing Healthcare Data Extraction with AI: A Path to Improved Patient Care - Arun Kumar Ramachandran Sumangala Devi - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.30098
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.30098
Short DOI	https://doi.org/g8qfs3

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International Journal For Multidisciplinary Research